A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection

Mohammad Tohidi; Jens Kargaard Madsen; Martijn Heck; Farshad Moradi

doi:10.1109/VLSI-SoC.2016.7753541

A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection

Mohammad Tohidi, Jens Kargaard Madsen, Martijn Heck, Farshad Moradi

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

8 Citationer (Scopus)

Abstract

This paper presents a low-power instrumentational amplifier (IA) design for EEG signal acquisition for seizure detection. The proposed structure provides a power per channel of 0.92 μW at supply voltage of 0.8 V. Due to the use of buffer structures and impedance boosting loops in the proposed design, the input impedance has reached up to 160 G and 16 G at 1 Hz and 10 Hz frequencies, respectively. Also, the use of design and chopping techniques will lead to an input-referred noise of 1.7 μVrms over the bandwidth of 0.5-100 Hz with a noise efficiency factor (NEF) of 3.87 and a CMRR of 137 dB. The simulations are done using TSMC 180nm CMOS technology at the supply voltage of 0.8 V.

Originalsprog	Engelsk
Titel	2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016 : VLSI-SoC
Antal sider	6
Vol/bind	2016
Forlag	IEEE Press
Publikationsdato	22 nov. 2016
Artikelnummer	7753541
ISBN (Elektronisk)	978-1-5090-3561-8
DOI	https://doi.org/10.1109/VLSI-SoC.2016.7753541
Status	Udgivet - 22 nov. 2016
Begivenhed	2016 IFIP/IEEE International Conference on Very Large Scale Integration - Tallinn, Estland Varighed: 26 sep. 2016 → 28 sep. 2016

Konference

Konference	2016 IFIP/IEEE International Conference on Very Large Scale Integration
Land/Område	Estland
By	Tallinn
Periode	26/09/2016 → 28/09/2016

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Citationsformater

@inproceedings{62273f988c52402997d438af697d42d3,

title = "A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection",

abstract = "This paper presents a low-power instrumentational amplifier (IA) design for EEG signal acquisition for seizure detection. The proposed structure provides a power per channel of 0.92 μW at supply voltage of 0.8 V. Due to the use of buffer structures and impedance boosting loops in the proposed design, the input impedance has reached up to 160 G and 16 G at 1 Hz and 10 Hz frequencies, respectively. Also, the use of design and chopping techniques will lead to an input-referred noise of 1.7 μVrms over the bandwidth of 0.5-100 Hz with a noise efficiency factor (NEF) of 3.87 and a CMRR of 137 dB. The simulations are done using TSMC 180nm CMOS technology at the supply voltage of 0.8 V.",

keywords = "EEG, dry and non-contact electrodes, high-input impedance structure, low power instrumentaional amplifier, low-noise amplifiers, seizure detection",

author = "Mohammad Tohidi and Madsen, \{Jens Kargaard\} and Martijn Heck and Farshad Moradi",

note = "ISSN: 2324-8440; 2016 IFIP/IEEE International Conference on Very Large Scale Integration , VLSI-SoC ; Conference date: 26-09-2016 Through 28-09-2016",

year = "2016",

month = nov,

day = "22",

doi = "10.1109/VLSI-SoC.2016.7753541",

language = "English",

volume = "2016",

booktitle = "2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016",

publisher = "IEEE Press",

}

Tohidi, M, Madsen, JK, Heck, M & Moradi, F 2016, A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection. i 2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016: VLSI-SoC. bind 2016, 7753541, IEEE Press, 2016 IFIP/IEEE International Conference on Very Large Scale Integration , Tallinn, Estland, 26/09/2016. https://doi.org/10.1109/VLSI-SoC.2016.7753541

A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection. / Tohidi, Mohammad; Madsen, Jens Kargaard; Heck, Martijn et al.
2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016: VLSI-SoC. Bind 2016 IEEE Press, 2016. 7753541.

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection

AU - Tohidi, Mohammad

AU - Madsen, Jens Kargaard

AU - Heck, Martijn

AU - Moradi, Farshad

N1 - ISSN: 2324-8440

PY - 2016/11/22

Y1 - 2016/11/22

N2 - This paper presents a low-power instrumentational amplifier (IA) design for EEG signal acquisition for seizure detection. The proposed structure provides a power per channel of 0.92 μW at supply voltage of 0.8 V. Due to the use of buffer structures and impedance boosting loops in the proposed design, the input impedance has reached up to 160 G and 16 G at 1 Hz and 10 Hz frequencies, respectively. Also, the use of design and chopping techniques will lead to an input-referred noise of 1.7 μVrms over the bandwidth of 0.5-100 Hz with a noise efficiency factor (NEF) of 3.87 and a CMRR of 137 dB. The simulations are done using TSMC 180nm CMOS technology at the supply voltage of 0.8 V.

AB - This paper presents a low-power instrumentational amplifier (IA) design for EEG signal acquisition for seizure detection. The proposed structure provides a power per channel of 0.92 μW at supply voltage of 0.8 V. Due to the use of buffer structures and impedance boosting loops in the proposed design, the input impedance has reached up to 160 G and 16 G at 1 Hz and 10 Hz frequencies, respectively. Also, the use of design and chopping techniques will lead to an input-referred noise of 1.7 μVrms over the bandwidth of 0.5-100 Hz with a noise efficiency factor (NEF) of 3.87 and a CMRR of 137 dB. The simulations are done using TSMC 180nm CMOS technology at the supply voltage of 0.8 V.

KW - EEG

KW - dry and non-contact electrodes

KW - high-input impedance structure

KW - low power instrumentaional amplifier

KW - low-noise amplifiers

KW - seizure detection

UR - https://www.scopus.com/pages/publications/85006699762

U2 - 10.1109/VLSI-SoC.2016.7753541

DO - 10.1109/VLSI-SoC.2016.7753541

M3 - Article in proceedings

VL - 2016

BT - 2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016

PB - IEEE Press

T2 - 2016 IFIP/IEEE International Conference on Very Large Scale Integration

Y2 - 26 September 2016 through 28 September 2016

ER -

A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection

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